{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "discover vulnerability", "trigger": true, "arguments": ["discoverer", "vulnerability", "supported platform", "vulnerable system owner", "common vulnerabilities and exposures", "time"]}, {"event_type": "ransom", "trigger": true, "arguments": ["price", "attack pattern", "tool", "damage amount", "place", "attacker", "time"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["vulnerable system version", "releaser", "patch number", "patch", "vulnerable system", "time", "supported platform", "issues addressed", "vulnerability"]}, {"event_type": "phishing", "trigger": true, "arguments": ["place", "attack pattern", "purpose", "time", "attacker", "victim", "tool", "damage amount", "trusted entity"]}, {"event_type": "data breach", "trigger": true, "arguments": ["compromised data", "place", "attacker", "number of victim", "damage amount", "victim", "purpose", "attack pattern", "time", "number of data"]}], "input": "People are still falling for fake sites pretending to be Facebook , research from Kaspersky Labs suggests ."}
{"discover vulnerability": [], "ransom": [], "patch vulnerability": [], "phishing": [{"trigger": "pretending to be", "arguments": {"place": "NAN", "attack pattern": "NAN", "purpose": "NAN", "time": "NAN", "attacker": "NAN", "victim": "People", "tool": "fake sites", "damage amount": "NAN", "trusted entity": "Facebook"}}], "data breach": []}